ML powered analytics engine for outlier detection and root cause analysis.
Hello everyone :wave:, we’re announcing the release of Chaos Genius v.0.11.0 today! :tada::rocket: This release we bring an addition to our Anomaly Detection and Alerts module as well as resolve critical bugs.
To make Anomaly Detection more insightful we now provide users expected value of their time series data in addition to the expected range. Furthermore, we have updated the alerts format and dashboard to provide a better percentage of change based on expected values.
Hello everyone :wave:,
We’re announcing the release of Chaos Genius v.0.10.2 today! :tada::rocket: This release we focus on resolving critical bugs and adding a new connector.
To make Chaos Genius operational for more environments, we’ve added a new data connector - Clickhouse - to our roster. Thank you @MahmoudElhalwany for your contribution!
Feature/clickhouse connector #1090
Hey everyone :wave:, we’re back announcing the release of Chaos Genius v0.10.1! :tada::rocket: This is a minor hotfix release to resolve some critical bugs.
:bug: Bug fixes
Hey everyone :wave:, we’re announcing the release of Chaos Genius v0.10.0! :tada::rocket:
This release focuses on clearing the bugs backlog and improving the quality of our root cause analysis for anomalies. Here are some brief notes on our new features and bug fixes:
Till now, for finding the reasons behind an anomalous data point, Drilldowns would mostly sort the underlying sub-populations by the severity score of their anomalies. This often led to high severity but low impact sub-populations being ranked higher in the Drilldowns hierarchy. To fix this, Drilldowns for an anomalous point in a KPI are now sorted by a new metric called Impact Score. This metric weighs both the severity of the data point as well as the contribution the subdimension has to the overall KPI. Users will now have more relevant and clearer insights into their data.
A minor hotfix release for some critical bugs.
Hey everyone :wave:, we’re back announcing the release of v0.9.0 of Chaos Genius! Here are some brief notes on our new features and bug fixes:
Users can now browse through anomalies for any sub-dimensions (e.g. Country = UK
) by just choosing the filters from the top; this has been a much requested feature and we’re happy that we’re finally supporting this.
Sub-Dimensional alerts have returned with a new and improved format! Users can choose to receive sub dimensional alerts while adding a KPI alert. To make alerts more insightful, we now provide Reasons for Change for any anomaly as well!
To make Chaos Genius operational for more environments, we’ve added two new data connectors - AWS Athena & Databricks - to our roster.
Hello everyone :wave:, we’re announcing the release of Chaos Genius v0.8.0 today :tada:
We’ve focused on enriching user experience and fixing critical bugs. We briefly cover the main features & fixes here.
To make alerts more insightful, we now identify KPI behavior such as :arrow_up: Spike, :arrow_down_small: Drop and :record_button: Anomalous occurrences. Furthermore we’ve reduced noise in alert messages by switching off sub-dimensional alerts by default. However they will still be available via the Alerts Dashboard. We are currently working on making Sub-Dimensional Alerts more relevant and insightful for the users in the upcoming releases, so stay tuned!
After listening to all our users feedback we have decided to shift our focus and deepen our offering on Anomaly Detection. On that end, we have made the DeepDrills section optional. This feature will now be disabled by default. Users have the option to enable it, if they want. Please refer to our docs on how to enable DeepDrills.
DEEPDRILLS_ENABLED
in global config API endpoint #972The name for Count column for Druid KPIs is now configurable as part of KPI definition. This column can also be proxy for count for the rolled-up data i.e not representing the actual count. We support Druid for rollup scenarios only.
Hello everyone, our 0.7.0 release takes care of usability & experience issues our users found operating Chaos Genius at scale. We briefly cover the main features & fixes here.
Some of you who are monitoring a large number of KPIs found degraded performance in Home Screen, KPI Explorer, Data Sources & Alerts. We have now added pagination & server-side search so Chaos Genius UI scale wells for 1000s of KPIs. Thank you, Klub team for bringing this to our attention!
We now have more robust editing for KPIs, including support for removing all subdimensions during the edit process. Thanks, @GRANTOSMO & Athul!
Like with other releases we make sure that there are no vulnerability or security issues in any libraries or dependencies Chaos Genius uses. We have also made CORS disabled by default - and it is configurable (thanks, @rsohlot).
Hey everyone, we have tackled a bunch of key issues in our 0.6.0 release based on your feedback. Here are a brief notes around them.
Many of you encountered metadata related issues with connecting to cloud data warehouses with large number of data assets. This was likely because of the amount of metadata that was being live fetched - to tackle this better we now have a system that asynchronously loads all the metadata from your datastore making this much more seamless. We have battle tested its performance with datawarehouses with over 100K tables.
Thank you, @danielefrigo, @ankneo, @sparshgupta & the klub team!
You no longer need to delete & recreate a KPI to make any major changes to them. Now we support editing KPI configuration as well as anomaly settings.
Thank you, @fampay-tech, @KShivendu, @gxu-kangaroo!
If you are dealing with different timezones for database & reporting, this feature is relevant. We now support timezone aware columns as well as provide data transformations when your database timezone & reporting timezone differs. As a config while creating data sources, we will now ask you to select your DB timezone - as a default it is UTC.
cc: @fampay-tech, @KShivendu
Many of our users have asked the option to download our analytics data for downstream ad-hoc analytics. We now support data downloads for panel metrics, DeepDrills as well as anomaly detection. Just click on the blue download button for the respective analytics report to be downloaded as a CSV.
We thank the Klub team for bringing this feature request.
We have also worked to improve some other features including:
We are doing a hotfix release to tackle an issue.
To upgrade your CG instance, follow the commands here.